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Source characterization and exposure modeling of gas-phase polycyclic aromatic hydrocarbon (PAH) concentrations in Southern California

机译:南加州气相多环芳烃(PAH)浓度的来源表征和暴露模型

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摘要

Airborne exposures to polycyclic aromatic hydrocarbons (PAHs) are associated with adverse health outcomes. Because personal air measurements of PAHs are labor intensive and costly, spatial PAH exposure models are useful for epidemiological studies. However, few studies provide adequate spatial coverage to reflect intra-urban variability of ambient PAHs. In this study, we collected 39-40 weekly gas-phase PAH samples in southern California twice in summer and twice in winter, 2009, in order to characterize PAH source contributions and develop spatial models that can estimate gas-phase PAH concentrations at a high resolution. A spatial mixed regression model was constructed, including such variables as roadway, traffic, land-use, vegetation index, commercial cooking facilities, meteorology, and population density. Cross validation of the model resulted in an R-2 of 0.66 for summer and 0.77 for winter. Results showed higher total PAH concentrations in winter. Pyrogenic sources, such as fossil fuels and diesel exhaust, were the most dominant contributors to total PAHs.
机译:空气中暴露于多环芳烃(PAHs)与不良健康后果相关。由于个人空气中多环芳烃的测量非常费力且昂贵,因此空间多环芳烃暴露模型可用于流行病学研究。但是,很少有研究提供足够的空间覆盖范围以反映环境PAH的城市内部变化。在这项研究中,我们于2009年夏季和冬季两次在加利福尼亚南部采集了39-40个每周的气相PAH样品,以表征PAH来源的贡献并开发可估算高浓度气相PAH浓度的空间模型。解析度。构建了空间混合回归模型,包括道路,交通,土地利用,植被指数,商业烹饪设施,气象学和人口密度等变量。交叉验证模型后,夏季的R-2为0.66,冬季为0.77。结果显示冬季总PAH浓度较高。化石燃料和柴油废气等热源是多环芳烃总量的最主要来源。

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